AI adoption is moving faster than traditional IT security processes. But can your organization recognize and respond to an AI incident? Discover how CISOs can manage Shadow AI, embedded AI, prompt injection, and autonomous AI agents. Learn how to strengthen AI governance, improve incident response, identify AI security risks, and build practical AI incident response playbooks aligned with ISO 27001 and OWASP guidance.

In this episode, we answer to:

How can CISOs identify and manage AI security incidents that traditional cybersecurity incident response processes might miss?

How can organizations detect and control Shadow AI, embedded AI, and unauthorized AI tools to reduce security and data privacy risks?

How can CISOs prepare incident response teams to handle prompt injection attacks, autonomous AI agents, and AI-related security incidents?

Resources Mentioned in this Episode:

OWASP GenAI Security Project, guide "GenAI Incident Response Guide 1.0", link https://genai.owasp.org/resource/genai-incident-response-guide-1-0/

International Organization for Standardization (ISO), standard "ISO/IEC 27001:2022 – Information Security, Cybersecurity and Privacy Protection — Information Security Management Systems — Requirements", link https://www.iso.org/standard/27001

OWASP GenAI Security Project, article "LLM01:2025 Prompt Injection", link https://genai.owasp.org/llmrisk/llm01-prompt-injection/

American Bar Association, article "BC Tribunal Confirms Companies Remain Liable for Information Provided by AI Chatbot", link https://www.americanbar.org/groups/business_law/resources/business-law-today/2024-february/bc-tribunal-confirms-companies-remain-liable-information-provided-ai-chatbot/

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Credits:

Sound engineering by Alan Southgate - http://alsouthgate.co.uk/

Graphics by Yulia Kolodyazhnaya